Integrating Topic-Aware Heterogeneous Graph Neural Network With Transformer Model for Medical Scientific Document Abstractive Summarization

The development of abstractive summarization methods is a crucial task in Natural Language Processing (NLP) that presents challenges, which require the creation of intelligent systems that are capable of extracting the main idea from text effectively and generate coherent summary. Numerous existing...

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Bibliografiset tiedot

Päätekijät:	Ayesha Khaliq, Atif Khan, Salman Afsar Awan, Salman Jan, Muhammad Umair, Megat F. Zuhairi
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	IEEE 2024-01-01
Sarja:	IEEE Access
Aiheet:	BERT LDA GAT TF-IDF transformer medical documents
Linkit:	https://ieeexplore.ieee.org/document/10637403/
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